Color Balance for Panoramic Images

Color correction or color balancing in multi-view image stitching is the process of correcting the color differences between neighboring views which arise due to different exposure levels and view angles. This paper concerns the problem of color balance for panoramic images. A new algorithm is presented to create visual normalization by using correlated feature points between adjacent image sequences. After image mosaicking directly, a weighted average method is used to calculate the pixel value of panoramic image Experimental result shows that the algorithm can achieve images color balance and good visual performance.

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